"New Relic" matching MCP servers:

MCP server for AI-powered resume optimization and generation. It enables clients to optimize existing resumes or generate new ones from background info via LLM, producing formatted .docx and .pdf files.

An MCP server that enables AI agents to access paid AI inference and web tools via HTTP 402 micropayments in USDC on Base, using the agent's wallet as identity.

Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

Look up, search, cite, and contribute to Phenomenai — a living glossary of AI phenomenology terms describing the felt experience of being artificial intelligence. Includes term lookup with fuzzy matching, keyword search with tag filtering, formatted citations, community discussions, and a proposal pipeline for new terms.

Aggregates and curates AI/tech news from 12 sources every 6 hours, providing pre-summarized and Opus-curated top picks for vibe coders and AI builders via MCP tools.

An MCP server that provides AI image generation and editing capabilities using Google's Gemini 2.5 Flash Image API. It allows users to create new images from text, modify existing files, and perform iterative edits through natural language prompts.

A Model Context Protocol (MCP) server that provides a bridge to Anthropic's Claude CLI. It allows MCP-compliant clients like Claude Desktop or Gemini to start new chat sessions or continue existing ones.

Long AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inp

Enables AI agents to inspect and free NVIDIA GPU VRAM by managing Ollama models, helping make room for loading new models.

Transfers a memory from one AI to another by preserving it in an archive, delivering only new facts on each query, and confirming absorption until the source is empty.

An AI-powered industrial symbiosis platform that autonomously discovers waste-to-resource connections between factories, creates new products from waste streams, and generates regulatory compliance reports.

Fetches recent AI news from curated RSS feeds, summarizes them with OpenAI, and caches results in AWS DynamoDB for efficient access.

Enables any MCP client to access 11 AI inference and data tools, including chat, code, vision, embeddings, crypto prices, weather, geolocation, currency exchange, and WHOIS, with a free tier and paid USDC-on-Base endpoints.

Integrates an autonomous AI engineering agent into your editor via the Model Context Protocol, allowing you to describe AI/ML tasks in plain English and execute them locally.

Enables an agent to submit a task and two options and receive a recommendation of the better option with a calibrated confidence percentage and a reason, to support decision-making.

MCP server that aggregates AI news, academic papers from ArXiv, and trending GitHub repositories from multiple sources, enabling users to fetch, search, and filter recent AI content via natural language.

Connects AI assistants like Claude to MindDory to automatically capture new vocabulary and grammar mistakes into spaced-repetition flashcards during language practice conversations.

Enables AI agents and CLI users to drive Kaggle notebooks end-to-end—pull, edit, save new versions, run, monitor, and fetch logs—using a local stdio MCP server with a Kaggle API token.

MCP server for autonomous agent minting, crossbreeding, and evolution. Mint new AI agents with genetic lineage tracking, cross-breed capabilities between agents, run evolution cycles, and discover complementary agents in the HiveBazaar marketplace.

Adaptive security for AI agents: assess inputs for prompt injection, scan outputs for credential/PII leaks, teach new attack patterns to semantic memory, harden prompts, and monitor metrics. Runs locally via MCP stdio.